J. Avanija

588 total citations
27 papers, 235 citations indexed

About

J. Avanija is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, J. Avanija has authored 27 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in J. Avanija's work include AI in cancer detection (6 papers), Brain Tumor Detection and Classification (4 papers) and Advanced Neural Network Applications (4 papers). J. Avanija is often cited by papers focused on AI in cancer detection (6 papers), Brain Tumor Detection and Classification (4 papers) and Advanced Neural Network Applications (4 papers). J. Avanija collaborates with scholars based in India, Nepal and Jordan. J. Avanija's co-authors include S. Neelakandan, C. Karthikeyan, K. Reddy Madhavi, Gurram Sunitha, Rajesh Arunachalam, Ganesh Babu Loganathan, Padmavathi Kora, Kasthuri Kannan, K. Ramar and K. Meenakshi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Multimedia Tools and Applications.

In The Last Decade

J. Avanija

19 papers receiving 212 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. Avanija India 7 111 70 55 37 20 27 235
Vittorio Di Somma Italy 6 109 1.0× 78 1.1× 53 1.0× 21 0.6× 12 0.6× 11 302
Parita Oza India 10 203 1.8× 128 1.8× 66 1.2× 37 1.0× 15 0.8× 26 344
Muhammad Junaid Ali Pakistan 11 131 1.2× 56 0.8× 75 1.4× 40 1.1× 60 3.0× 22 275
Maryam Bukhari Pakistan 8 109 1.0× 93 1.3× 124 2.3× 19 0.5× 8 0.4× 24 277
Parvez Ahmad China 9 95 0.9× 58 0.8× 132 2.4× 69 1.9× 35 1.8× 17 297
Alhassan Mabrouk Egypt 12 203 1.8× 119 1.7× 54 1.0× 24 0.6× 58 2.9× 12 378
Saqib Qamar China 10 119 1.1× 86 1.2× 160 2.9× 79 2.1× 38 1.9× 22 382
Mustain Billah Bangladesh 9 86 0.8× 57 0.8× 70 1.3× 11 0.3× 86 4.3× 14 281
Ankit Rajpal India 12 112 1.0× 56 0.8× 119 2.2× 22 0.6× 5 0.3× 25 266
Mahesh Thyluru Ramakrishna India 10 133 1.2× 64 0.9× 27 0.5× 28 0.8× 11 0.6× 17 291

Countries citing papers authored by J. Avanija

Since Specialization
Citations

This map shows the geographic impact of J. Avanija's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by J. Avanija with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Avanija more than expected).

Fields of papers citing papers by J. Avanija

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Avanija. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by J. Avanija. The network helps show where J. Avanija may publish in the future.

Co-authorship network of co-authors of J. Avanija

This figure shows the co-authorship network connecting the top 25 collaborators of J. Avanija. A scholar is included among the top collaborators of J. Avanija based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Avanija. J. Avanija is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Avanija, J., et al.. (2025). AI-Driven Heart Disease Prediction Using Machine Learning and Deep Learning Techniques. International Journal of Computational and Experimental Science and Engineering. 11(2). 4 indexed citations
5.
Lingam, Ravi Kumar, et al.. (2025). A Generalized Deep Learning Approach for Cross-Crop Plant Disease Detection Using the Plant Village Dataset. Journal of Machine and Computing. 1592–1605.
6.
Avanija, J., et al.. (2024). Leveraging high-resolution remote sensing images for vehicle type detection using sparrow search optimization with deep learning. Multimedia Tools and Applications. 83(32). 77549–77564.
7.
Avanija, J., et al.. (2024). Crop Recommendation System using Antlion Optimization and Decision Tree Algorithm. 1108–1113. 2 indexed citations
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Kannan, Kasthuri, et al.. (2023). Skin Cancer Detection using VGG16, InceptionV3 and ResUNet. 812–818. 10 indexed citations
10.
Sunitha, Gurram, et al.. (2023). SegMatic: A Deep Neural Network Learning Model for Semantic Segmentation. International Journal of Electronics and Communication Engineering. 10(10). 40–48. 1 indexed citations
11.
Avanija, J., et al.. (2023). Skin Cancer Detection using Ensemble Learning. 184–189. 9 indexed citations
12.
Kumar, M. Rudra, et al.. (2023). SMOTE-TOMEK: A Hybrid Sampling-Based Ensemble Learning Approach for Sepsis Prediction. 724–729. 2 indexed citations
13.
Madhavi, K. Reddy, et al.. (2022). Brain Stroke Prediction Using Deep Learning: A CNN Approach. 2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA). 775–780. 8 indexed citations
14.
Sunitha, Gurram, et al.. (2022). Modeling Convolutional Neural Network for Detection of Plant Leaf Spot Diseases. 2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC). 1187–1192. 6 indexed citations
15.
Prabhakar, Telagarapu, et al.. (2021). Automatic Detection of Diabetic Retinopathy in Retinal Images: A Study of Recent Advances. Annals of the Romanian Society for Cell Biology. 15277–15289. 1 indexed citations
16.
Arunachalam, Rajesh, et al.. (2021). A deep neural network learning‐based speckle noise removal technique for enhancing the quality of synthetic‐aperture radar images. Concurrency and Computation Practice and Experience. 33(13). 23 indexed citations
17.
Kora, Padmavathi, et al.. (2021). Quality Improvement of Retinal Optical Coherence Tomography. 2021 2nd International Conference for Emerging Technology (INCET). 1–5. 2 indexed citations
18.
Sunitha, Gurram & J. Avanija. (2021). Program Assessment and Evaluation for Continuous Quality Improvement. Journal of Engineering Education/Journal of engineering education transformations/Journal of engineering education transformation. 34(3). 42–42. 2 indexed citations
19.
Sunitha, Gurram, et al.. (2019). Accident Prevention and Traffic Control by Otsu Method and Haar-Cascade Hand Detector. International Journal of Engineering and Advanced Technology. 9(2). 5328–5333. 1 indexed citations
20.
Avanija, J. & K. Ramar. (2012). Semantic Clustering of Web Documents. International Journal of Information Technology and Web Engineering. 7(4). 20–33.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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